Perceived costs as drivers of wildlife management preferences in rural Tanzanian communities
Abstract Effectively managing human–wildlife interactions is crucial for fostering coexistence on shared landscapes. Management options are most effective when aligned with the preferences of people directly affected by wildlife, yet little is known about how socioecological factors influence these preferences.
Christian Kiffner +10 more
wiley +1 more source
Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models. [PDF]
Liu Y, Culpepper S.
europepmc +1 more source
ABSTRACT Dispersal during early life stages is a critical process shaping marine fish connectivity and population dynamics, yet direct field observations at the individual level remain elusive. This has limited our understanding of the factors controlling dispersal, including the impact of active swimming by larvae and juveniles. Here, we present a new
Tatsuya Sakamoto +4 more
wiley +1 more source
Phylogeographical studies of Amazonian birds have revealed large intraspecific diversity, even within recognized areas of endemism. To understand the origin and organization of Amazonian diversity, including the influence of current and historical landscapes, we need to evaluate fine‐scale patterns of genetic diversity in relation to detailed ...
Affonso Henrique Nascimento de Souza +4 more
wiley +1 more source
Evaluating motivational interview quality using large language models and hidden Markov models. [PDF]
Lim K, Jung YC, Kim BH.
europepmc +1 more source
Flexible hidden Markov models for behaviour-dependent habitat selection. [PDF]
Klappstein NJ, Thomas L, Michelot T.
europepmc +1 more source
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
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
Hidden Markov models reveal behavioral state dynamics in depth-related locomotion in mice. [PDF]
Shuto H +5 more
europepmc +1 more source
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
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
An analysis of pacing profiles in sprint kayak racing using functional principal components and hidden Markov models. [PDF]
Estreich H +4 more
europepmc +1 more source

