Results 201 to 210 of about 818,075 (294)

Health‐Related Performance Decrements Resulted in Substantial Financial Loss for Team USA Athletes at the Paris 2024 Olympic Games

Arthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
Purpose To estimate the financial impact of injury and illness among Team USA athletes who participated in the Paris 2024 Olympic Games and evaluate the cost‐effectiveness of a feasible illness prevention program. Methods All Team USA athlete‐events at the Paris 2024 Olympic Games were analyzed.
Jacob F. Oeding, Travis Anderson, Ashley N. Triplett, Amber Donaldson, Jonathan T. Finnoff, Heather K. Vincent, Eric G. Post   +6 more
wiley   +1 more source

A Testability Strategy Optimization Method Under Multi-Valued Dependency Condition Based on Deep Reinforcement Learning. [PDF]

Entropy (Basel)
Zhang C, Zhang Y, Wang F, Su X, Dong Z, Zuo L.   +5 more
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Joint Optimization of User Association and Dynamic Multi-UAV Deployment for Maritime Emergency Communications. [PDF]

Entropy (Basel)
Ma X, Yang H, Xu Y, Wakamiya N.
europepmc   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Comparative study of ACO, dijkstra, and NN for routing efficiency in waste collection networks. [PDF]

Sci Rep
Anitha R, Parthiban A.
europepmc   +1 more source

The ultimate forgery: A semiotic deconstruction of large language models as engines of simulated selfhood

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley   +1 more source

"Strong Opinions, Loosely Held": A Renewed Call for Error-driven Learning in Medical Education. [PDF]

Med Sci Educ
Scott H, Devorkin B.
europepmc   +1 more source

Did AI win after all?

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Algorithmic platforms are reshaping how people work and how human activity is rendered intelligible within data‐intensive systems. This paper argues that Heidegger's philosophy of technology, specifically Ge‐stell (enframing) and Poiesis (bringing‐forth), offers information science a conceptual vocabulary for understanding both algorithmic ...
Fred Fonseca
wiley   +1 more source