Results 51 to 60 of about 68,065 (264)
Theory and Guidelines for the Application of the Geophysical Sensor EM38
Characterization of spatial soil variability is key for a better understanding of soils. To arrive at such information geophysical techniques have been used in the last two decades.
Kurt Heil, Urs Schmidhalter
doaj +1 more source
A tubular electrowetting pump moves alternating droplets through a millimeter‐wide channel in discrete, reversible steps, functioning as a fluidic stepper motor. With no moving parts and electrodes insulated from the liquid, it delivers silent, accurate flow. Flexibility allows the pump to be woven directly into textiles for wearable, medical, and soft‐
Robert Hennig, Herbert Shea
wiley +1 more source
A regenerated cellulose (RC) hydrogel‐based SERS substrate integrating a Marangoni‐transferred gold nanoparticle self‐assembled monolayer (Au‐SAM) is fabricated. Reswelling‐induced hotspot formation enhances polystyrene micro/nanoplastics (PS MNPs) detection in complex matrices, providing reproducible, high‐throughput SERS signals across diverse ...
Youngho Jeon +5 more
wiley +1 more source
Data-Gap Filling to Understand the Dynamic Feedback Pattern of Soil
Detailed and accurate information on the spatial variation of soil over low-relief areas is a critical component of environmental studies and agricultural management. Early studies show that the pattern of soil dynamics provides comprehensive information
Shanxin Guo +6 more
doaj +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
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
Ratiometric Mycotoxin Detection in Living Plants With Dual‐Emissive Nanosensors
A minimally invasive microneedle patch integrates carbon dot‐embedded metal–organic frameworks as nanosensors to detect a key fungal toxin in living plants. The nanosensor produces a ratiometric fluorescence signal that enables early, non‐destructive diagnosis of fungal infection before visible symptoms, offering a new biomaterials‐based strategy for ...
Yuliang Li +9 more
wiley +1 more source
THE SCALE PROBLEM IN MODERN SOIL MAPPING
One of the features of the transition from traditional soil cartography to digital technologies for compiling and using soil maps is a qualitative change in both the concept of “map” and the concept of “map scale”.
I. Yu. Savin
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This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà +15 more
wiley +1 more source
Large scale soil survey and mapping based on the spatial variation of soil horizons
This paper put forward a proposal of large-scale soil survey and mapping based on characterization of the spatial variation of soil horizons. The framework of the method can be divided into four steps: (i) positioning of observation points with Global ...
ZHANG Ming-kui +2 more
doaj +1 more source

