Results 291 to 300 of about 4,175,963 (385)

Quantum approximate multi-objective optimization. [PDF]

Nat Comput Sci
Kotil A, Pelofske E, Riedmüller S, Egger DJ, Eidenbenz S, Koch T, Woerner S.   +6 more
europepmc   +1 more source

Trade costs, infrastructure, and dynamics in a global economy

International Journal of Economic Theory, EarlyView.
Abstract This study develops a dynamic two‐country model with trade costs linked to international infrastructure stock. With variable markups and firm heterogeneity, the welfare impact of trade costs depends on firms' cost distribution. Governments engage in a dynamic public investment game, leading to multiple steady states. The dynamic equilibrium of
Akihiko Yanase
wiley   +1 more source

Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes. [PDF]

Chem Sci
Liang K, Qi X, Xiao X, Wang L, Zhang J.
europepmc   +1 more source

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

Relief well pumping strategy for levee safety based on multivariate adaptive regression splines (MARS) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). [PDF]

Sci Rep
Tian M, Fan H, An A, Sheng X.
europepmc   +1 more source

The Culture Clash of AI Adoption in Lean Quality Management. Resolving the Tensions at Siemens Electronics Works Amberg

Information Systems Journal, EarlyView.
ABSTRACT Artificial intelligence (AI) brings great potential for manufacturers, but clashes with the established culture due to the unexplainable and opaque nature of the solutions it provides. Having little experience in AI and machine learning (ML), most manufacturing leaders experience barriers implementing AI.
Benjamin van Giffen, Gunter Beitinger, Helmuth Ludwig, Bill Schiano, Konstantin Schmidt, Jan vom Brocke   +5 more
wiley   +1 more source

A framework integrating multiscale in silico modeling and experimental data predicts CAR-NK cell cytotoxicity across target cell types. [PDF]

Proc Natl Acad Sci U S A
Ahmad S, Xing K, Pereira MSF, Castle S, Rajakaruna H, Nayak I, Stewart WC, Beckwith KA, Cairo MS, Naeimi Kararoudi M, Lee DA, Das J.   +11 more
europepmc   +1 more source

A new family of models with generalized orientation in data envelopment analysis

International Transactions in Operational Research, EarlyView.
Abstract In the framework of data envelopment analysis, we review directional models and show that they are inadequate when inputs and outputs are improved simultaneously under constant returns to scale. Conversely, we introduce a new family of quadratically constrained models with generalized orientation and demonstrate that these models overcome this
Vicente J. Bolós, Rafael Benítez, Vicente Coll‐Serrano   +2 more
wiley   +1 more source

Data mining historical Chinese medical recipe collections and nuclear receptor profiling identify plant fractions that modulate glucocorticoid receptor activity. [PDF]

Front Pharmacol
Prackwieser J, Houtman R, Kievits T, Melchers D, Guan H, Seifert G, Konietschke F, Lamottke K, Unschuld PU, Kirk N.   +9 more
europepmc   +1 more source

A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints

International Transactions in Operational Research, EarlyView.
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz, David Lopez‐Lopez, Laura Calvet, Angel A. Juan   +3 more
wiley   +1 more source