Results 211 to 220 of about 188,814 (295)
Healthcare organizations in crisis context: decision-making models and roles of CEOs. [PDF]
Romiti A +3 more
europepmc +1 more source
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley +1 more source
Beyond adrenal fatigue: reframing the adrenal stress index through neutrophil-mediated glucocorticoid resistance. [PDF]
Cardillo G.
europepmc +1 more source
Abstract Large swarms often adopt a hierarchical network structure that incorporates information aggregation. Although this approach offers significant advantages in terms of communication efficiency and computational complexity, it can also lead to degradation due to information constraints.
Kento Fujita, Daisuke Tsubakino
wiley +1 more source
Modeling bacterial growth and Allee effect via Allen-Cahn theoretical framework. [PDF]
Maslovskaya A +4 more
europepmc +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Land tenure regimes influenced long-term restoration gains and reversals across Brazil's Atlantic forest. [PDF]
Benzeev R +3 more
europepmc +1 more source
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley +1 more source
Why Turing's Computable Numbers Are Only Non-Constructively Closed Under Addition. [PDF]
Edmonds J.
europepmc +1 more source
Feedback is the most powerful driver of learning, but it can afford variable effects depending on the method used. The design of feedback for computer‐based assessment—now increasingly prevalent in higher education—remains relatively underexplored, particularly for pharmacology education.
Claire Y. Hepburn
wiley +1 more source

