PHTFNet-RPM: a probabilistic hybrid network with RPM for tobacco root disease forecasting. [PDF]
Bu Y, Yao T, Geng S, Huang R.
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
Innovative motivation as a pathway from evidence-based nursing competence and nurse-physician collaboration to knowledge sharing behavior among surgical nurses : A structural equation modeling study based on the COM-B model. [PDF]
Leng Y +5 more
europepmc +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
A Comprehensive Analysis of Capability Enhancement in National Emergency Response Teams for Infectious Diseases - China, 2023. [PDF]
Zhao J, Wang Y, Li B, Shi G.
europepmc +1 more source
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
A Comparative Machine Learning Study Identifies Light Gradient Boosting Machine (LightGBM) as the Optimal Model for Unveiling the Environmental Drivers of Yellowfin Tuna (<i>Thunnus albacares</i>) Distribution Using SHapley Additive exPlanations (SHAP) Analysis. [PDF]
Yang L, Zhou W, Zhang C, Tang F.
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
Investigating the Association Between Citrus Huanglongbing and Chlorophyll Content Using Hyperspectral Detection. [PDF]
Dou S +7 more
europepmc +1 more source

