Results 101 to 110 of about 525 (227)

Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis

Advanced Energy Materials, EarlyView.
This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Cui Ce, John Wang
wiley   +1 more source

How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang, Lena Kuhn, Hang Xiong, Zhanli Sun, Thomas Glauben   +4 more
wiley   +1 more source

UAV-Based Coverage Path Planning for Unmanned Agricultural Vehicles. [PDF]

Sensors (Basel)
Xue G, Zhang E, An G, Du J, Yin X, Zhou P, Zhang X.   +6 more
europepmc   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Uncovering Aggregation‐Induced Emission in Carbon Dots for Color‐Changing Hydrogels and Information Encryption

Angewandte Chemie, EarlyView.
Red‐emissive carbon dots (R‐CDs) exhibiting aggregation‐induced emission (AIE) and aggregation‐caused quenching (ACQ) effects are synthesized from citric acid and urea. They display weak blue fluorescence in water but strong red emission in DMF due to aggregation.
Jiafeng Wan, Shiyi Chen, Haopu Su, Tim Muschik, Tongtong Cui, Yosuke Akae, Dominik Voll, Christian W. Schmitt, Stefan Bräse, Tao Chen, Andreas‐Neil Unterreiner, Patrick Théato   +11 more
wiley   +2 more sources

Advancements and prospects in key technologies for robotic pollination in greenhouse pepper breeding: a review. [PDF]

Front Plant Sci
Kuang M, Li X, Xie F, Zou X, Xiang Y, Zhang Y, Liu D, Zou X, Li X.   +8 more
europepmc   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Optimization of specific spray volume for spray application in pomegranate orchard using response surface methodology. [PDF]

Sci Rep
Thorat DS, Mehta CR, Agrawal KN, Jyoti B, Kumar M, Chandel NS.   +5 more
europepmc   +1 more source

Reducing environmental exposure to PPPs in super-high density olive orchards using UAV sprayers. [PDF]

Front Plant Sci, 2023
Sánchez-Fernández L, Barrera-Báez M, Martínez-Guanter J, Pérez-Ruiz M.   +3 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source