Results 221 to 230 of about 30,788 (321)

Detecting extirpation: A localized approach to a global problem

PLANTS, PEOPLE, PLANET, EarlyView.
The global biodiversity crisis stems from a cascading series of extirpations driving species toward extinction. Addressing this crisis requires methods for early detection of extinction at local scales, where communities can mobilize conservation efforts.
Andrew D. F. Simon, Antranig Basman, R. Adam Martin, Caitlin Robinson, Quentin Cronk   +4 more
wiley   +1 more source

Adaptive heartbeat regulation using double deep reinforcement learning in a Markov decision process framework. [PDF]

Sci Rep
Ayadi W, Alkhazraji E, Khaled H, Bouteraa Y, Abedini M, Mohammadzadeh A.   +5 more
europepmc   +1 more source

Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology. [PDF]

, 2019
Wěipéng Huáng, Guangyuan Piao, R. Moreno, Neil Hurley   +3 more
openalex  

First genome sequence of a European Alternaria brassicae isolate and genes involved in early development of alternaria leaf spot on Brassica juncea

Pest Management Science, EarlyView.
This article reports the first genome sequence of a UK Alternaria brassicae isolate. Dual RNA‐sequencing profiling of A. brassicae‐infected Brassica juncea leaves identified differentially expressed genes involved in pathogenicity and host response pathways in moderately resistant Sej‐2 (2) and moderately susceptible Pusa Jaikisan cultivars.
Kevin M. King, Graham McLaughlin, Chinthani S. Karandeni Dewage, Zedi Gao, David J. Hughes, Jonathan S. West, Henrik U. Stotz   +6 more
wiley   +1 more source

A decision-making framework using MCTS as a hierarchical task network and deep learning connector. [PDF]

Sci Prog
Shao T, Zhang K, Cheng K, Zhang H.
europepmc   +1 more source

Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley   +1 more source

Autonomous navigation in unstructured outdoor environments using semantic segmentation guided reinforcement learning. [PDF]

Sci Rep
Tibermacine A, Tibermacine IE, Akrour D, Rabehi A, Habib M.   +4 more
europepmc   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

Strategic planning of prevention and surveillance for emerging diseases and invasive species. [PDF]

Proc Natl Acad Sci U S A
Wang J, Hanley BJ, Thompson NE, Gong Y, Walsh DP, Gonzalez-Crespo C, Huang Y, Booth JG, Caudell JN, Miller LA, Schuler KL.   +10 more
europepmc   +1 more source

Data assimilation with extremum Monte Carlo methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source