The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego +7 more
wiley +1 more source
Virtual Mice, Real Errors: A Sensor-Aware Generative Framework for In Silico Ethology. [PDF]
Sayfoori R, Vaisi G, Cao H.
europepmc +1 more source
A policy gradient method for semi-Markov decision processes
Solving a semi-Markov decision process (SMDP) using value or policy iteration requires precise knowledge of the probabilistic model and suffers from the curse of dimensionality.
Sumeetpal S. Singh +2 more
core
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
A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention. [PDF]
Akwiwu EU +3 more
europepmc +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
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
A methodological analysis of systematic reviews of cost-effectiveness in screening, diagnosis, and treatment of colorectal cancer. [PDF]
Velásquez MA, Bachelet VC.
europepmc +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
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
Addressing lightning and market uncertainties in self-scheduling: A fuzzy-markov approach for smart grids. [PDF]
Benistan IS, Shahbazzadeh MJ, Eslami M.
europepmc +1 more source
Early Life Stress Affects Human Decision Making by Increasing Expectations of Volatility. [PDF]
ABSTRACT People learn most effectively when they can flexibly modify strategies to accommodate environmental changes. Here, we explore how chronic early life stress influences the ways individuals weight and prioritize new information when making decisions. To do so, we examined the choices of 11–16‐year‐old children in a reward learning task. Children
Smith KE +4 more
europepmc +2 more sources

