Results 41 to 50 of about 42,457,417 (193)
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Foresight for Policy on Science, Technology, and Innovation XV
After the COVID-19 pandemic, it is essential to anticipate the future society in which the next generation will live and contemplate strategies for adapting to the future.
Cha, J. +1 more
core +3 more sources
China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu +3 more
wiley +1 more source
Design Technology for Wood Materials in Housing [PDF]
We stand at the threshold of a venture in housing technology that our best skills and efforts could hardly have produced if they had been applied to the task.
Hoyle, Robert J.
core +1 more source
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar +9 more
wiley +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Education in Wood Science and Technology: Update 1978-79 [PDF]
Current academic programs in Wood Science and Technology (WST) for the 1978-79 academic year are discussed in terms of program growth, program resources, and enrollment.
Barnes, H. M.
core +1 more source
Rational production of veneer by IR-heating of green wood during peeling: Modeling experiments [PDF]
Heating green wood logs by infrared (IR) radiation during peeling for veneer production has been numerically simulated, focusing on the heating kinetics of a green wood cylinder rotating with a decreasing radius.
OULD AHMEDOU, Sid' Ahmed +4 more
core
How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services
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 +4 more
wiley +1 more source

