Results 201 to 210 of about 200,680 (289)

In Situ Electrostatic Charge‐Assisted Wetting for Enhancing Interfacial Strength of Printed Electronics

open access: yesAdvanced Electronic Materials, EarlyView.
This study introduces an in situ electrostatic charge‐assisted wetting method to enhance the interfacial strength of aerosol jet printing. By depositing negative charges on the substrate, the technique improves ink wetting and interfacial properties, achieving up to 85.6% higher interfacial shear strength.
Ao Li   +5 more
wiley   +1 more source

Light Stability of Laser‐Assisted Glass Encapsulated Perovskite Solar Cells under Different Atmospheres

open access: yesAdvanced Energy Materials, EarlyView.
This study presents a laser‐assisted glass‐frit encapsulation method for perovskite solar cells, comparing air‐, nitrogen‐, and CO2‐filled cavities. Results show that excluding oxygen and moisture significantly improves stability under illumination. The findings reveal the critical role of trapped gases in degradation, providing a pathway to durable ...
Marta Pereira   +5 more
wiley   +1 more source

A Skills Gap Analysis of Farmer Directors of US Farmer Cooperatives

open access: yesAgribusiness, EarlyView.
ABSTRACT Boards of directors are vital to firm performance and are an integral part of the decision‐making process of any business. Several studies have been conducted that observe corporate or nonprofit board characteristics, skills, and the board's connection to firm performance.
Jody S. Herchenbach   +5 more
wiley   +1 more source

Climate‐Smart Dairy Practices: The Role of Practice Clusters in Enhancing the Performance of Dairy Farms in Kenya

open access: yesAgribusiness, EarlyView.
ABSTRACT Climate variability is affecting the productivity, profitability, and resilience of smallholder dairy producers in developing countries. The adoption of climate‐smart (CS) dairy practices has been promoted to mitigate these negative effects. However, while interest in dairy CS practices is growing, empirical evidence on their adoption patterns
Mercy Mburu   +4 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

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