Results 191 to 200 of about 154,301 (266)
An Integrated Monitoring Protocol to Study the Effects of Management on the C Sequestration Potential of Mediterranean Pine Ecosystems. [PDF]
Eleftheriadou N +12 more
europepmc +1 more source
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
A novel machine learning model of smartphone-based 1-minute sit-to-stand test for prediction of six-minute walk test distance in patients with COPD. [PDF]
Xie S +7 more
europepmc +1 more source
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong +13 more
wiley +1 more source
Monitoring ecosystem functions in mountain catchments of chilean patagonia: A cluster-based dataset. [PDF]
Moreno-Meynard P.
europepmc +1 more source
Leveraging the multidimensional self‐catalytic merits of the alkali‐polyphenol synergistic self‐catalytic platform, this work delineates the intrinsic mechanism governing the regulation of hydrogel properties and puts forward an innovative design paradigm for frost‐tolerant electrode materials, providing critical scientific insights and technical ...
Mengting Zhou +10 more
wiley +1 more source
Slow Progress Under Brazil's Native Vegetation Protection Law in the Southeastern Amazon. [PDF]
Almada HK +4 more
europepmc +1 more source
Non‐ideal redox electrolytes still govern the Nernstian behavior of electrode potentials in aqueous organic redox flow batteries under operation. We utilized this effect to analytically predict two scenarios of battery performance degradation. ABSTRACT Aqueous organic redox flow batteries (AORFBs) enhance the sustainability of battery energy storage ...
Faudillah Alhumairah +9 more
wiley +1 more source
Dynamic machine learning approach for workload prediction in cloud environments. [PDF]
Nashaat M, Moussa W, Rizk R, Saber W.
europepmc +1 more source
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen +6 more
wiley +1 more source

