Results 211 to 220 of about 47,553 (286)
Multimodal data fusion: integrating PET/MRI and liquid biopsy for a holistic view of cancer biology. [PDF]
Zhao Y, Shen B, Luo W, Wang M.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
European strategies of adaptation to climate change: the spatial planning and spatial development policy perspective [PDF]
+5 more sources
Spatiotemporal evolution and driving factors of urban-rural integration in the Jinan metropolitan area. [PDF]
Mei D, Liu N, Yu H.
europepmc +1 more source
Oxygen‐releasing hydrogels are widely used to support cell survival in 3D cultures and to promote wound healing. However, incorporating catalase to convert H2O2 into O2 often generates additional oxygen bubbles, leading to material instability which rarely addressed.
Sukulya Bunuasunthon +3 more
wiley +1 more source
Assessing European cities with the 3-30-300 rule underscores the need for enhanced urban greening efforts. [PDF]
Bertassello LE +5 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
Cross-ancestry analysis of gestational diabetes mellitus identifies novel loci, drug targets and biological pathways. [PDF]
Zhao W +5 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

