ABSTRACT Oropharyngeal food processing exhibits a remarkable diversity among vertebrates, reflecting the evolution of specialised ‘processing centres’ associated with the mandibular, hyoid, and branchial arches. Although studies have detailed various food‐processing strategies and mechanisms across vertebrates, a coherent and comprehensive terminology ...
Daniel Schwarz +6 more
wiley +1 more source
Validation of an agent-based model for cell interactions in a microfluidic chip. [PDF]
Panunzi S +4 more
europepmc +1 more source
Diet of bird‐like troodontid dinosaurs: synthesis of a contentious clade
ABSTRACT Troodontidae is a clade of small‐to medium‐sized maniraptoran theropods that mainly lived in Laurasia (modern Asia, North America and Europe) during the Jurassic and Cretaceous periods and are believed to have had a variety of diets. The uniqueness of troodontid teeth suggests that they diverged from the typical flesh‐based diet of non‐avian ...
Yui Chi Fan +2 more
wiley +1 more source
Composite B-spline regularized delta functions for the immersed boundary method: Divergence-free interpolation and gradient-preserving force spreading. [PDF]
Gruninger C, Griffith BE.
europepmc +1 more source
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su +11 more
wiley +1 more source
A review of applications of machine learning in quantum dots research. [PDF]
Malashin I +5 more
europepmc +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Footwork recognition and trajectory tracking of football goalie using Multi-Sensor technology. [PDF]
Ye G, Liang L.
europepmc +1 more source
Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt +6 more
wiley +1 more source
Versatile and Highly Efficient MRI Simulation of Arbitrary Motion in KomaMRI. [PDF]
Villacorta-Aylagas P +7 more
europepmc +1 more source

