Results 111 to 120 of about 131,594 (222)

Bio‐Inspired Cascade Photocatalysis on Fe Single‐Atom Carbon Nitride Upcycles Plastic Wastes for Effective Acetic Acid Production

Advanced Energy Materials, EarlyView.
This work demonstrates a novel cascade photocatalysis concept using Fe single‐atom catalysts (Fe@C3N4 SAC) to directly upcycle plastics (PET, PP, PE, PVC) into valuable acetic acid at ambient conditions. Inspired by microbial degradation, the bifunctional cascade photocatalyst combines Fenton‐like oxidation and CO2 photoreduction, as validated by ...
Wei Wei, Cheng Du, Jiawei Ge, Xiang Wang, Zuolong Chen, Meng Zhang, Tao Guo, Lei Wang, Maoyu Wang, Yuzi Liu, Hua Zhou, Chengjun Sun, Ning Chen, Weifeng Chen, Brant Billinghurst, Mohsen Shakouri, Peter Sprenger, Fatemeh Fani Sani, Yulian Quan, Brian Kendall, Roy Brouwer, Yimin A. Wu   +21 more
wiley   +1 more source

Fast tumor phylogeny regression via tree-structured dual dynamic programming. [PDF]

Bioinformatics
Schmidt H, Qi Y, Raphael BJ, El-Kebir M.
europepmc   +1 more source

Economic and Environmental Tradeoffs in Cultivating Short Food Supply Chains With Urban Indoor Agriculture

Agribusiness, EarlyView.
ABSTRACT This study advances the literature on sustainable urban agriculture and alternative sustainable food production systems, which have gained momentum due to the need to strengthen regional food supply chains and meet the growing urban demand for fresh food. Indoor agriculture (IA) holds promise for year‐round cultivation of fresh produce even in
Joseph Seong, H. Christopher Peterson, Simone Valle de Souza   +2 more
wiley   +1 more source

Research on Seafloor 3D Reconstruction Method Based on Sparse Measurement Points. [PDF]

Sensors (Basel)
Xiao E, Qin L, Chi Z, Gu H, Hua Y, Yang H, Li R.   +6 more
europepmc   +1 more source

Association Between Liver Function Grade and Post‐Hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma: A Latent Class Analysis

Annals of Gastroenterological Surgery, EarlyView.
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu, Jintao Zheng, Ye Wang, Chenao Yang, Jiachen Zhang, Changku Jia   +5 more
wiley   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

The Double-Layer Potential for Spectral Constants Revisited. [PDF]

Integr Equ Oper Theory
Schwenninger FL, de Vries J.
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Dual feature-based and example-based explanation methods. [PDF]

Front Artif Intell
Konstantinov A, Kozlov B, Kirpichenko S, Utkin L, Muliukha V.   +4 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source