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pro vyhledávání: '"Jason A. Ford"'
Providing an indispensable resource for undergraduate students, graduate students, and policymakers interested in the prescription drug abuse crisis in the United States, this book summarizes the current state of prescription drug abuse and its growt
Publikováno v:
Experimental and Clinical Psychopharmacology. 30:797-808
Simultaneous co-ingestion of prescription medication (e.g., opioid, tranquilizer/sedative, stimulant) and alcohol is associated with overdose and elevated substance use, but no studies have examined prescription drug misuse (PDM) and alcohol co-inges
Publikováno v:
Substance Abuse: Research and Treatment, Vol 14 (2020)
Prescription drug misuse (PDM), or medication use without a prescription or in ways not intended by the prescriber, is a notable public health concern, especially in the United States. Accumulating research has characterized PDM prevalence and proces
Externí odkaz:
https://doaj.org/article/e0ea291783374bc8be05d19a00a33f97
Publikováno v:
Social Science Quarterly. 103:1687-1705
Autor:
Yuanheng Wang, Stefan Seritan, Dean Lahana, Jason E. Ford, Alessio Valentini, Edward G. Hohenstein, Todd J. Martínez
Publikováno v:
Journal of Chemical Theory and Computation. 18:3308-3317
Publikováno v:
Transfusion.
Publikováno v:
IEEE Control Systems Letters. 6:1484-1489
In this letter we identify, and propose a solution for, the string stability problem that may arise in frequency droop control schemes for a type of inverter-based microgrid. We consider a previously proposed frequency droop control with secondary co
Publikováno v:
Journal of Addiction Medicine.
Autor:
Traccy A.W. Martins, Jason A. Ford
Publikováno v:
Journal of Drug Issues. 52:268-279
A large portion of the U.S. population is justice-involved, an important at-risk population with poor physical/mental health outcomes and increased rates of substance use. Using the 2018 National Survey on Drug Use and Health, the current study asses
Publikováno v:
IEEE Transactions on Robotics. 37:1844-1851
In this article, we propose two novel experimental design techniques for designing maximally informative experiments to estimate the parameters of nonlinear dynamical vehicle models. The two techniques include a batch design and a sequential design t