Measuring the carbon footprint of clinical research activities: a scoping review of measurement tools and methods. [PDF]
Keegan D, Brennan L, O'Neill L, Doran P.
europepmc +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
A Bibliometric Analysis of Performance Measurement and Management in Child and Adolescent Healthcare Services. [PDF]
Lampropoulos IC, Kalogera M.
europepmc +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Life Cycle Assessment of Phycocyanin Food Colorant Production from Spirulina (<i>Arthrospira platensis</i>) with Biostimulant Waste-Stream Utilization for Soil Carbon Sequestration to Achieve Net Carbon Removal. [PDF]
Smidt-Jensen A +8 more
europepmc +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Benchmarking performance in robotic liver resection: are we measuring what matters? [PDF]
Tozzi F +3 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Research on carbon emission models and emission characteristics in the coal development process. [PDF]
Gang W +7 more
europepmc +1 more source

