Predicting compressive strength of mortars containing recycled CRT glass using GMDH and GEP methods. [PDF]
Ghorbani V, Seyedkazemi A, Kutanaei SS.
europepmc +1 more source
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song +3 more
wiley +1 more source
Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages. [PDF]
Navidi MN +3 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Dynamic causal weighting-based risk propagation modeling for airport movement areas. [PDF]
Wu W, Lin J, Wei M, Wang X, Zhu L.
europepmc +1 more source
An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells
Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio +8 more
wiley +1 more source
A multi-level visual representation dataset for large-scale non-financial information disclosure. [PDF]
Li B, Xia B, Cheng Z, Xu Y, Duan Z.
europepmc +1 more source
Applications of Process Capability and Process Performance Indices
K. Rezaie +2 more
openaire +1 more source
This study advances our understanding of aortic valve stenosis by capturing spatially resolved chemical and structural changes at the nanoscale. The findings highlight the potential of combined Raman and electron microscopy for understanding calcification mechanisms across diverse tissue types.
Robin H. M. Van der Meijden +11 more
wiley +1 more source
NeuralVisionNet: a probabilistic neural process model for continuous visual anticipation. [PDF]
He H, Chen R, Wang Y, Chen X.
europepmc +1 more source

