Results 101 to 110 of about 884,903 (262)

Reversible Mechanical Interlocking via Stimuli‐Triggered Nonhomeomorphic Topology Transformation Enables Highly Efficient Rotaxane Synthesis

Angewandte Chemie, EarlyView.
We design the macrocycles capable of stimuli‐triggered, reversible transformation between nonhomeomorphic topologies (one‐hole ring versus two‐hole figure‐eight ring). By leveraging the ring size change associated with the topology transformation, we achieve reagent‐free, highly efficient, reversible, and one‐pot synthesis of [2]rotaxane and bis[2 ...
Chunlin Xiao, Xue Li, Naohiro Okamoto, Yuichiro Kobayashi, Tomohiko Nishiuchi, Yosuke Tani, Hiroyasu Yamaguchi   +6 more
wiley   +2 more sources

A Cost‐Effective and Scalable Machine Learning Approach for Quality Assessment of Fresh Maize Kernel Using NIR Spectroscopy

Advanced Science, EarlyView.
A cost‐effective and scalable PCNN approach is developed for NIR model construction that has compatibility with multiple instruments and multiple crops. It is time and cost saving, rapid and nondestructive, small sample set based, various quality properties and extensible for breeding application in fresh maize, forage maize, rice, wheat, and barley ...
Jiang Shi, Erkui Yue, Xuejin Zhu, Lin Zhao, Weifeng Chen, Xiangqun Yu, Hongliang Huang, Ying Qian, Zhengfang Zhang, Jianguo Wu   +9 more
wiley   +1 more source

A Guideline to Evaluate Sorbent Performance for Atmospheric Water Harvesting

Advanced Energy and Sustainability Research, EarlyView.
Reporting guidelines for atmospheric water harvesting sorbents allow benchmarking between research groups across seven key performance indicators (KPIs). Beyond simple equilibrium values (such as capacity or maximum water uptake), these KPIs validate sensitivity, reversibility, regeneration conditions, chemical stability, kinetics, and water quality ...
Simon Ponton, David Brassard, Andrés Felipe Sánchez Rendón, Seyedemad Alavitabari, Richard Boudreault, Emilie Bédard, Pierre‐Luc Girard‐Lauriault, Jason R. Tavares   +7 more
wiley   +1 more source

Farmers' Financial Literacy—Scale Development and Linkages to Accounting Practices and Financial Outcomes

Agribusiness, EarlyView.
ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley   +1 more source

Charm and Beauty Photoproduction at HERA

, 2008
After the completion of data taking at HERA-2, a large data set is at hand to study the photoproduction of charm and beauty quarks in ep collisions. New measurements of charm production based on D^* meson tagging and beauty production based on muon and ...
List, Benno
core  

The Role of Coordination Mechanisms and Transaction Costs Promoting Sustainability Performance in Agri‐Food Supply Chains: Evidence From Ecuador

Agribusiness, EarlyView.
ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

Agribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann, Ching‐Hua Yeh, Matthew Gorton, Barbara Tocco, Áron Török   +4 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Rapid and Precise Geometric Measurement of Injection‐Molded Axial Fans Using Convolutional Neural Network Regression

Advanced Intelligent Systems, EarlyView.
This study presents a vision‐based artificial intelligence (AI) system that rapidly and accurately measures deformation in injection‐molded axial fan blades. By combining deep learning with explainable AI techniques, the system achieves high prediction accuracy while reducing inspection time by over 90%.
Keuntae Baek, Sanghun Shin, Minhyeok Kim, Jaemin Oh, Yeong Bin Kim, Myong Dok Kim, Hongyun So   +6 more
wiley   +1 more source

Nucleic Acid‐Based Molecular Machines for Biological Applications

Advanced NanoBiomed Research, EarlyView.
Molecular machines are devices assembled from molecules with specific functions. In this review, the development of DNA nanostructures, which are then assembled into molecular machines, is summarized. Their classification and biological applications, such as biosensing, targeted therapy, and molecular circuits are introduced.
Yirong Guo, Xiaolei Zuo, Fangfei Yin
wiley   +1 more source