Results 221 to 230 of about 1,507,877 (336)

Diagnostic safety and quality optimization in sepsis study protocol

open access: yesJournal of Hospital Medicine, EarlyView.
Abstract Background Sepsis ranks among the “Big Three" conditions most prone to harmful diagnostic errors. Despite its high prevalence and severity, health systems lack effective and contextually tailored strategies to optimize diagnostic accuracy for sepsis.
Sachita Shrestha   +7 more
wiley   +1 more source

Survive the economic downturn: Operating flexibility, productivity, and stock crash

open access: yesJournal of Operations Management, EarlyView.
Abstract Operating flexibility supports a firm's resilience strategy during challenging times by enabling them to promptly cut down operating costs associated with unproductive resources. We employ a real options model to formalize this insight. Our empirically grounding analytics motivate a firm‐level proxy for downscale operating flexibility (FLEX ...
Yang Li   +3 more
wiley   +1 more source

Reflections on the Spatial Exponential Growth of Electromagnetic Quasinormal Modes

open access: yesLaser &Photonics Reviews, EarlyView.
Quasinormal modes (QNMs) offer a robust framework for understanding the physics of resonators. However, conceptual challenges arise in regions distant from resonators, where QNM fields exponentially grow. This growth is not unphysical, but gives rise to counterintuitive effects, which is explained by examining fundamentals of non‐Hermitian systems ...
Tong Wu   +2 more
wiley   +1 more source

Deep Q‐learning: A robust control approach

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 33, Issue 1, Page 526-544, 10 January 2023., 2023
Abstract This work aims at constructing a bridge between robust control theory and reinforcement learning. Although, reinforcement learning has shown admirable results in complex control tasks, the agent's learning behavior is opaque. Meanwhile, system theory has several tools for analyzing and controlling dynamical systems.
Balázs Varga   +2 more
wiley   +1 more source

Natural Language Processing Algorithms to Improve Digital Marketing Data Quality and Its Ethical Implications

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT The ethical implications of personalization in digital marketing are significantly greater when companies adapt their marketing actions to individual consumer preferences. While this approach helps to reduce oversaturation and a sense of irrelevance among consumers, it also raises concerns about privacy and potential algorithmic bias. One form
Sergi Pons   +3 more
wiley   +1 more source

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