Results 141 to 150 of about 4,939,690 (294)
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley +1 more source
Assessment of three broadleaf weed species classification in rice field using UAV hyperspectral imaging and machine learning. [PDF]
Sulaiman N +5 more
europepmc +1 more source
Breaking Down Lignin: A Macromolecule's Path to the Nanoscale
This section highlights lignin's critical role as a sustainable, multifunctional precursor for nanomaterial design. Its unique structure and abundance enable the creation of lignin‐based, lignin‐derived, and hybrid nanomaterials with tunable properties. Emphasis is placed on lignin's potential to drive innovation in nanotechnology, offering ecofriendly
Jelena Papan Djaniš +3 more
wiley +1 more source
Mapping at-risk transportation infrastructure assets using statistical and machine learning methods. [PDF]
Salunke R, Khan S.
europepmc +1 more source
The fossil‐based substrates of a printed supercapacitor containing liquid electrolytes can only be replaced with biopolymers if they have adequate permeabilities. This article studies three biopolymers based on their processability, printability, and barrier properties to find a more sustainable substrate option.
Iida Kangashaka +6 more
wiley +1 more source
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Economic valuation of farmland using natural-attribute-based indicators: A case study of Hefei, China. [PDF]
Yuan L, Fan X, Feng B.
europepmc +1 more source
Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu +2 more
wiley +1 more source
Detection of <i>Tuber melanosporum</i> Using Optoelectronic Technology. [PDF]
Sánchez-Artero S +3 more
europepmc +1 more source

