Results 151 to 160 of about 496,830 (322)
Shaping Oral Health Care in North Carolina With East Carolina University's Community Service Learning Centers [PDF]
D. Gregory Chadwick +2 more
openalex +1 more source
Service Learning in Business Program to Develop Critical Thinking in Language Skills
Elli Setiyo Wahyuni +2 more
openalex +2 more sources
Toward Sustainable Model Services for Deep Learning: A Sub-Network-Based Solution Integrating Blockchain with IPFS and a Use Case in Intelligent Transportation [PDF]
Rui Jiang +3 more
openalex +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source
Perspective on Aqueous Batteries: Historical Milestones and Modern Revival
This review retraces the development of aqueous batteries from classical Zn‐MnO2 chemistry to modern Zn and Ni systems, correlating voltage, capacity, and electrolyte formulation with practical performance. By mapping historical success and failure onto current and future research directions, it identifies guiding principles that steer the design of ...
Fangwang Ming +5 more
wiley +1 more source
Nothing About Us Without Us: Combining Professional Knowledge with Service User Experience in Training about Mental Health and Learning Disabilities [PDF]
Celia Heneage +2 more
openalex +1 more source
Roll‐to‐roll direct‐current sputtering enables room‐temperature manufacture of flexible bismuth telluride thermoelectric films. By identifying a low‐power deposition window that suppresses charge‐induced arcing, this work links sputtering conditions to film structure, charge transport, and thermoelectric performance, achieving a room‐temperature figure
Xudong Tao +5 more
wiley +1 more source
原載於2011年11月7日《星島日報》。 Originally published in Sing Tao Daily 7th Nov 2011.https://commons.ln.edu.hk/osl_press/1005/thumbnail ...
Office of Service-Learning, Lingnan University
core
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

