Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian+7 more
wiley +1 more source
Comparison Between the Strain IndicatorHRVof a Head-Based Virtual Retinal Display and LC-Head Mounted Displays for Augmented Reality [PDF]
Olaf Oehme+2 more
openalex +1 more source
Engineering Magnetotactic Bacteria as Medical Microrobots
Magnetotactic bacteria (MTB) are living microorganisms that produce magnetosomes for navigation using the Earth's geomagnetic field. Their built‐in magnetic components, along with their intrinsic and/or modified biological functions, make them one of the most promising platforms for making future living and programmable microrobots.
Jiaqi Wang+9 more
wiley +1 more source
Mutual disambiguation of 3D multimodal interaction in augmented and virtual reality [PDF]
Ed Kaiser+7 more
openalex +1 more source
Cardiac Organoid Model Inspired Micro‐Robot Smart Patch to Treat Myocardial Infarction
The heart organoid model exhibits the acidic microenvironment characteristic of myocardial infarction, which emerges as a pivotal force propelling the movement of micro‐robots. These micro‐robots, administered through microneedles, can penetrate deep into the tissue, effectively delivering therapeutic payloads to facilitate heart repair.
Fangfang Wang+12 more
wiley +1 more source
Virtual and Augmented Reality in Undergraduate Medical Education in Psychiatry: A Systematic Review. [PDF]
Rodda J+4 more
europepmc +1 more source
Wearable augmented reality system using an IrDA device and a passometer [PDF]
Ryuhei Tenmoku+2 more
openalex +1 more source
Virtual and augmented reality for biomedical applications
M. Venkatesan+6 more
semanticscholar +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
Augmented reality tools for mathematics and geoscience education. [PDF]
Kaźmierczak R+4 more
europepmc +1 more source