Results 261 to 270 of about 1,700,696 (345)

Understanding the Hygienic Behavioral Dynamics of Ants Using Multi‐State Models

Entomologia Experimentalis et Applicata, Volume 174, Issue 4, Page 361-370, April 2026.
Leaf‐cutting ants adjust grooming to pathogen risk and vulnerable nestmates. Multi‐state Markov models reveal shorter, frequent self‐grooming bouts and reduced allogrooming persistence under stress, optimizing social immunity via stigmergic decision‐making.
Isabella Bueno, Gabriel R. Palma, Idemauro A. R. Lara, Rafael A. Moral, Italo Delalibera Jr, Wesley A. C. Godoy   +5 more
wiley   +1 more source

Analysis of Cost-Effectiveness of Biologic Therapies in Axial Spondyloarthritis Based on Real-World Data. [PDF]

Clinicoecon Outcomes Res
Al-Saleh J, Negm AA, Almarzooqi A, Elsidig NEE, Zamani N.   +4 more
europepmc   +1 more source

Fight song: variation in singing behaviour and song structure during natural agonistic interactions in a tropical songbird, Adelaide's Warbler (Setophaga adelaidae)

Ibis, Volume 168, Issue 2, Page 766-778, April 2026.
Birds may use their singing behaviours and song structure as agonistic signals in territorial encounters. We conducted an observational study to test this hypothesis in male Adelaide's Warblers Setophaga adelaidae, a tropical songbird that defends a territory year‐round.
Peter C. Mower, Juleyska Vazquez‐Cardona, Samantha W. Krause, Tyler R. Bonnell, David M. Logue   +4 more
wiley   +1 more source

Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]

Sensors (Basel)
Seck D, Yanes-Luis S, Perales-Esteve M, Marín ST, Gutiérrez-Reina D.   +4 more
europepmc   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

HAO-AVP: An Entropy-Gini Reinforcement Learning Assisted Hierarchical Void Repair Protocol for Underwater Wireless Sensor Networks. [PDF]

Sensors (Basel)
Hao L, Ma C, Ao J.
europepmc   +1 more source

SADQN-Based Residual Energy-Aware Beamforming for LoRa-Enabled RF Energy Harvesting for Disaster-Tolerant Underground Mining Networks. [PDF]

Sensors (Basel)
Anabi HK, Frimpong S, Madria S.
europepmc   +1 more source

Momentum, volume and investor sentiment study for u.s. technology sector stocks-A hidden markov model based principal component analysis. [PDF]

PLoS One
Li S.
europepmc   +1 more source

Joint Bayesian Hidden Markov Model With Subject-Specific Transitions for Wearable Sensor Data. [PDF]

Stat Med
Fei W, Miao Z, Xu T, Wang Y.
europepmc   +1 more source

Inferring behavioural states from tracking data with hidden Markov models - a validation study using GPS video-camera collars. [PDF]

Mov Ecol
Larue B, Farr JJ, Ehlers L, Herriges J, Bentzen T, Suitor MJ, Joly K, Michelot T, Vuillaume B, Côté SD, Gurarie E, Hebblewhite M.   +11 more
europepmc   +1 more source