Results 251 to 260 of about 106,211 (332)
Dynamic multi objective task scheduling in cloud computing using reinforcement learning for energy and cost optimization. [PDF]
Yu X, Mi J, Tang L, Long L, Qin X.
europepmc +1 more source
Budding enrollment: The impact of cannabis policy on US colleges and universities
Abstract We examine how liberalized recreational marijuana laws have affected freshmen enrollment and science, technology, engineering, and math (STEM) major choice using difference‐in‐differences and event study models. Estimates indicate near‐zero initial enrollment growth as schools substituted between in‐state and out‐of‐state students.
Joshua H. Hess, Danna Thomas
wiley +1 more source
Decentralized queue control with delay shifting in edge-IoT using reinforcement learning. [PDF]
Kovtun V.
europepmc +1 more source
How iteration frequencies affect project uncertainty and risk ‐ An empirically elaborated model
Abstract Iterative approaches have gained prominence in new product development (NPD) projects in response to increasingly dynamic and turbulent business environments. In this article, we study how iteration frequency—that is, the rhythm at which development teams revisit and test comprehensive products—affects an NPD project's uncertainty and risk. We
Timo Kalmes, Fabian J. Sting
wiley +1 more source
Enabling continuous 24/7 vertical mobility in High-Rise buildings by integrating critical activity scheduling and night shift planning. [PDF]
Ahmadnia M, Maghrebi M, Khodatars F.
europepmc +1 more source
Abstract Aim To explore the experiences of mental health difficulties and access to mental health support among young people with cerebral palsy (CP). Method We used a qualitative descriptive design. Participants were young people with CP aged 13 to 25 years and parents of children with CP (6–25 years).
Manjula Manikandan +15 more
wiley +1 more source
Optimization of machine tool processing scheduling based on differential evolution algorithm. [PDF]
Zhang Y, Zhang M.
europepmc +1 more source
Scheduling typing tasks with different deadlines
Daniel R. Little, Coby Cheung
openalex +2 more sources
ABSTRACT Patients with relapsed/refractory (R/R) diffuse large B‐cell lymphoma (DLBCL) who progress to the third‐line setting face a lack of standardized treatment, despite the presence of multiple available therapies. In this context, antibody–drug conjugates represent a relatively new class of anticancer agents; among them, loncastuximab tesirine is ...
Francesca Bonello +7 more
wiley +1 more source

