Results 191 to 200 of about 7,043,501 (306)

Regulating Interfacial Water Structure on CoNi/MoN Heterostructures Boosts Electrocatalytic Nitrate Reduction to Ammonia

Carbon Energy, EarlyView.
The CoNi/MoN interface effect induces electron transfer from CoNi species to MoN nanosheets, in which electron‐enriched CoNi/MoN interface captures K+ to form K+‐H2O, facilitating H2O dissociation to provide *H for accelerating hydrogenation steps, while electron‐deficient CoNi nanoparticles enhances the NO3− adsorption and reduces the free energy ...
Xue Chen, Jianhui Yi, Guopeng Ding, Zixuan Feng, Qianling Wei, Chunyu Sui, Liqiang Zhang, Zhili Wang, Qing Jiang   +8 more
wiley   +1 more source

Lightweight Graph Neural Network-Driven Acoustic Anomaly Detection Method for Gas Pipeline Leakage Levels in Underground Utility Tunnels. [PDF]

Sensors (Basel)
Sun W, Li Y, Yang J, Cheng Y.
europepmc   +1 more source

Analysis of the Regulatory Framework for the CCU Technology

Chemie Ingenieur Technik, EarlyView.
ABSTRACT Carbon capture and utilisation (CCU) is increasingly considered an important technology for achieving climate neutrality within the German and European legal framework. Recent developments, particularly the Carbon Dioxide Storage and Transport Act (KSpTG), aim to enable CO2 transport infrastructure and cross‐sector carbon management systems ...
Sophie Schmengler, Blerine Hamitaj, Eileen Czaja   +2 more
wiley   +1 more source

Numerical Study of Temperature Fields and Control Methods for Improving the Grain Storage Safety of Semi-Underground Granaries. [PDF]

Materials (Basel)
Wang H, Liu J, Yang L, Liu K, Niu S, Wang Y.   +5 more
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

A perspective on parsimonious hybrid models for online use: Augmenting fundamental models with ARIMA disturbances

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley   +1 more source

Captivated by Kinesin

Cytoskeleton, EarlyView.
ABSTRACT Few proteins have inspired as much curiosity as kinesin. Since its discovery 40 years ago, kinesin has become one of the best understood molecular machines in biology, yet it continues to reveal new questions about how cells organize and move their contents.
Ronald D. Vale
wiley   +1 more source

Design, Property, and Interfacial Bonding Mechanism of a Novel Gangue-Cemented High-Porosity Backfill Material. [PDF]

Materials (Basel)
Guo Q, Li M, Ju F, Yin Z, Li Z, Cui Z.
europepmc   +1 more source

Regulatory Research Priorities for AI Use in the Medicine Lifecycle: A European Perspective with Global Relevance

Clinical Pharmacology &Therapeutics, EarlyView.
Regulatory bodies play a central role in providing guidance that enables safe and effective use of artificial intelligence tools in medicine development and evaluation. Regulators can also act as catalysts for regulatory science research. To inform these efforts, a European‐wide survey was conducted to solicit stakeholder perspectives on the priority ...
Luis C. Pinheiro, Amanda C. Langston, Marie Orre, Joerg Zinserling, Konstantina Boumaki, Bastian V. H. Hornung, Siobhan O'Sullivan, Gabriel Westman, Karl Broich, Peter Arlett   +9 more
wiley   +1 more source

Optimal Combination of Measures for Flood Risk Mitigation Within Probabilistic and Uncertain Situations. [PDF]

Risk Anal
Zhou Z, Chen Z, Yi C, Liu B, Chen Y, Zhao Y.   +5 more
europepmc   +1 more source