Results 91 to 100 of about 68,852 (252)
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.Summary Background and Objective Despite the availability of guidelines and effective escalation therapies, chronic spontaneous urticaria (CSU) is often inadequately treated in Germany. Implementation science can help to transfer evidence‐based care into practice.
Ralph von Kiedrowski +10 more
wiley +1 more source
Reach-avoid semi-Markov decision processes with time-varying obstacles [PDF]
Yanyun Li, Xianping Guo
openalex +1 more source
Equine Veterinary Journal, EarlyView.Abstract Background Strangles (Streptococcus equi infection) remains endemic in the UK, with ~300 laboratory diagnoses annually. Sub‐clinically infected long‐term carriers are considered a key driver of endemicity. Analysing genomes of circulating strains could provide valuable transmission insights of this pathogen.
Abigail A. McGlennon +8 more
wiley +1 more source
Customizing exponential semi-Markov decision processes under the discounted cost criterion
, 2017 Bora Çekyay
openalex +2 more sources
Fisheries Oceanography, EarlyView.ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues +15 more
wiley +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 +3 more
wiley +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
International Statistical Review, EarlyView.Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
The exponential cost optimality for finite horizon semi-Markov decision processes [PDF]
, 2022 Hai‐Feng Huo, X. Wen
openalex +1 more source
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
Information Systems Journal, EarlyView.ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
Journal of Integrative Plant Biology, EarlyView.ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source