Results 181 to 190 of about 229,882 (295)

The African Transport Systems Database - a geospatial database of multi-modal connected networks. [PDF]

Sci Data
Colombo S, Pant R, Young M, Thomas F, Russell T, Verschuur J, Hall JW.   +6 more
europepmc   +1 more source

Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis

Advanced Energy Materials, EarlyView.
This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao, Mengfang Liang, Xiaotong Han, Xu Yu, Huan Pang, Ho Seok Park   +5 more
wiley   +1 more source

Tracing the geopolitical influences on the morphological and functional transformation in Guangdong merchant ships: Knowledge mining from the Ming and Qing maritime archives. [PDF]

PLoS One
Ao J, Zhao M, Li W, Feng S, Ye Z, Xu Z, Ji S.   +6 more
europepmc   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

Agribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo, Fernanda Aparecida Silva, Michelle Márcia Viana Martins, Marcelo José Braga Nonnenberg, Ruan da Silva Vianna, Carla Cristina Passos Cruz   +5 more
wiley   +1 more source

Maritime sector pathways toward net-zero emissions within global energy scenarios. [PDF]

Sci Rep
Kramel D, Krey V, Fricko O, Maczek F, Muri H, Strømman AH.   +5 more
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

On the Discorhabdins Leading to the Aleutianamine Ring System: A One‐Step in Situ Transformation Characterized Through Computational and Experimental Studies and Its Implications on Biosynthesis, Synthesis, and Pharmacology

Angewandte Chemie, EarlyView.
The thiocarbenium ion rearrangement of 3‐dihydrodisorhabdin B greatly increases the recovery of aleutianamine from Latrunculia spp., a pyrroloiminoquinone natural product with potent activity against drug‐resistant cancers, collected from the deep‐ocean along the Aleutian Islands.
Cody F. Dickinson, Abhay Potluri, Alison M. Bland, Samuel M. Flipse, George S. Hanna, Ryan T. Wagner, Keith D. Robertson, Thai H. Ho, Daniel J. Sprague, Gerald R. Hoff, Robert P. Stone, Marcus A. Tius, Dean J. Tantillo, Mark T. Hamann   +13 more
wiley   +2 more sources

Systemic impacts of disruptions at maritime chokepoints. [PDF]

Nat Commun
Verschuur J, Lumma J, Hall JW.
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Bond Softening and Elastic Confinement of Monolithic Dense Binary Alloys for High Volumetric Capacity of K‐Ion Battery Anodes

Angewandte Chemie, EarlyView.
Synergistically intrinsic‐extrinsic dual‐stabilization engineering to construct dense monolithic alloy architectures is proposed by integrating 2D binary alloy nanosheets into 3D elastic graphene networks. Such a dense monolithic anode achieves high volumetric and areal performance, enabling fast K+ transfer and superior structural recovery during ...
Yunyong Li, Yiru Zhou, Bingchun Wang, Xinying Wang, Lei Liu, Zhuhang Shao, Hao Wu, Zaowen Zhao, Yingqiang Wu, Xuerong Zheng, Xinwei Li, Wenwu Li, Yida Deng, Zaiping Guo, Ho Seok Park   +14 more
wiley   +2 more sources