Multinomial processing tree models

Results 121 to 130 of about 3,327 (217)

Permafrost Distribution in the Canadian Rockies: Key Variables Influencing Patch‐Scale Variability

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT The spatial distribution of permafrost in mountainous regions is influenced by various factors such as topography, climate, vegetation, and substrate. Despite the existence of comprehensive permafrost maps at national and global levels, they fail to accurately represent the patch‐scale (e.g., < 25 m) permafrost distribution in characteristic ...
Gerardo Zegers, Masaki Hayashi, Pablo A. Mendoza +2 more
wiley +1 more source

Taxonomical modeling and classification in space hardware failure reporting. [PDF]

Sci Rep
Palacios D, Hill TR.
europepmc +1 more source

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal +3 more
wiley +1 more source

Location based bursty event detection and information dissemination using influencers in Twitter. [PDF]

Sci Rep
Manikandan D, Valliyammai C.
europepmc +1 more source

Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman +3 more
wiley +1 more source

Measurement and Modeling of Sustainable Food Choice and Purchasing Behavior: A Systematic Review of Methods and Models. [PDF]

Foods
Andrade TN, Bolini HMA.
europepmc +1 more source

Spatial observation‐error correlations for AMSU‐A in all‐sky assimilation: An ECMWF and UK Met Office intercomparison

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt +9 more
wiley +1 more source

Machine Learning-Driven Metabolomic Biomarker Discovery in Glioblastoma: Advances, Challenges, and Future Directions. [PDF]

Int J Mol Sci
Shih T +4 more
europepmc +1 more source

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo +3 more
wiley +1 more source

Validating a multinomial processing tree model for measuring confidence in lineups using a post-response feedback manipulation. [PDF]

Cogn Res Princ Implic
Bell R, Menne NM, Buchner A.
europepmc +1 more source

machine learning
recognition heuristic