Results 171 to 180 of about 3,612,069 (205)
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali +2 more
wiley +1 more source
Abstract Introduction Forest restoration in Hawaii is underway due to past large‐scale conversion of forests to pastures dominated by invasive grasses. Secondary succession is limited by grass dominance and a lack of native seed rain, making outplanting a viable restoration strategy.
Michala L. Phillips +4 more
wiley +1 more source
Abstract Introduction Common buckthorn (Rhamnus cathartica) is an invasive shrub that is widespread throughout deciduous forests of North America. Buckthorn benefits more from increased nitrogen availability compared to many native competitors. Increased litter decomposition can be a part of a self‐reinforcing mechanism of invasion.
Kara Lamoreux +3 more
wiley +1 more source
ABSTRACT Deterrence theory underpins numerous anti‐corruption interventions. Yet, empirical evidence on its application to corruption remains limited. Existing studies rely mainly on laboratory experiments and focus on certainty and severity of punishment, leaving the role of celerity unexplored.
Eran Itskovich +4 more
wiley +1 more source
Climate, Nature, and the Uneven Expansion of Financial Governance
ABSTRACT Financial authorities have developed extensive climate‐related policies, but nature‐related financial policy remains less widespread. Using data on individual policy instruments across 116 jurisdictions from 2000 to 2025, this paper compares the adoption, policy areas, binding status, and source of climate‐ and nature‐related policies.
Paola D'Orazio
wiley +1 more source
Abstract Predictive processing is an influential theoretical framework for understanding human and animal cognition. In the context of predictive processing, learning is often reduced to optimizing the parameters of a generative model with a predefined structure. This is known as Bayesian parameter learning.
Philippe Servajean, Wanja Wiese
wiley +1 more source
Abstract The aim of this work was to examine changes in the plasma metabolome in response to high‐intensity interval exercise (HIIE) performed under three distinct hypoxia protocols. On separate days, 18 inactive individuals with overweight completed a HIIE protocol in randomised conditions: normoxia (NEx‐NRec), normobaric hypoxia (inspired O2 fraction
Jacky Soo +8 more
wiley +1 more source
Intramuscular pathways of maladaptation in overtraining syndrome
Abstract figure legend The transition from adaptive overreaching to maladaptive overtraining and mechanisms through which excessive training load can lead to performance decline. Four interconnected pathophysiological domains are highlighted: neural fatigue, involving both central and peripheral components such as altered sensory feedback and reflex ...
Emily Shorter +4 more
wiley +1 more source
Standing on a common ground: a comparison of static stability approaches for pallet loading
Abstract At the practical level, the static stability constraint is one of the most important constraints in practical pallet loading problems, such as air cargo palletizing. Approaches to modeling static stability, which range from base support and mechanical equilibrium calculations to physical simulation, differ in workflow, focus, and assumptions ...
Philipp G. Mazur +3 more
wiley +1 more source
Better together: Multi‐Agent system teamwork
Abstract While most present‐day multi‐agent system (MAS) deployments involve teams of agents within a single institution orchestrated by one or a few actors, some researchers are already beginning to appreciate the promise of more complex ecosystems consisting of hybrid human‐agent‐robot teams that operate across organizational and geographic ...
Jeffrey M. Bradshaw +5 more
wiley +1 more source

