Results 141 to 150 of about 33,890 (255)
RELEAP: reinforcement-enhanced label-efficient active phenotyping for electronic health records. [PDF]
Yang Y +5 more
europepmc +1 more source
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Entanglement-assisted variational algorithm for discrete optimization problems. [PDF]
Fioroni L, Savona V.
europepmc +1 more source
Intuitive and deliberate decisions can be accounted for by the same cognitive process model. [PDF]
Forst S, Glöckner A.
europepmc +1 more source
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao +5 more
wiley +1 more source
When Fear Feels Like Fact: Cognitive Bias and Cardiac Risk Perception in Youth Sports. [PDF]
Fiedorek TJ, Eble BK, Daily JA.
europepmc +1 more source
Detecting cryptic ghost lineage introgression in four‐taxon genomic datasets
Abstract Premise Hybridization and introgression are pervasive evolutionary forces that have played fundamental roles in shaping the diversity of wild and domesticated plants. Four‐taxon tests for introgression provide a reliable framework for detecting signatures of ancient introgression from genomic data, which have played an important role in ...
Evan S. Forsythe +3 more
wiley +1 more source
Addressing degeneracy in rodent studies of cognition. [PDF]
Constantinople CM.
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Clinician factors influencing decision-making in emergency general surgery (EGS): a scoping review protocol. [PDF]
Groundwater E +6 more
europepmc +1 more source

