Results 291 to 300 of about 1,333,708 (366)
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Theoretically redesigning peritoneal dialysis products for sustainability: A life cycle inventory approach. [PDF]
Larkin J +9 more
europepmc +1 more source
Mesenchymal stem cell derived extracellular vesicles (MSC‐EVs) are a promising therapeutic tool for regenerative medicine. However, the field lacks a reproducible high‐yield production method to answer the quantities needed for clinical translation.
Christophe Wong +7 more
wiley +1 more source
Reducing carbon emissions in WEEE reverse logistics: a supply chain perspective on risk and collaboration. [PDF]
Qin L, Hong Y, Li N, Zeng F.
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Orbital biomanufacturing: the key to space resiliency, operational persistence, and ethical sustainability. [PDF]
Younger AK.
europepmc +1 more source
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala +5 more
wiley +1 more source
Cascade Valorisation of Lemon Processing Residues (Part II): Integrated Biorefinery Design, Circular Economy, and Techno-Economic Feasibility. [PDF]
Núñez-Pérez J +6 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source

