Results 201 to 210 of about 5,697,993 (289)

Optimization of proton exchange membrane fuel cell design parameters using Tianji's horse racing optimization. [PDF]

Sci Rep
Bouali Y, Imarazene K, Alamri B, Berkouk EM.   +3 more
europepmc   +1 more source

Membrane‐Active Peptide Protects Against Inflammation by Targeting NLRP3 Activation at the Trans‐Golgi Network

Advanced Science, EarlyView.
The membrane‐active peptide Pep19‐2.5 reduces harmful inflammation by blocking activation of the NLRP3 inflammasome at trans‐Golgi network membranes. By targeting key membrane interactions, Pep19‐2.5 suppresses inflammatory IL‐1β production and alleviates allergic airway inflammation in mice, leading to reduced immune cell infiltration and improved ...
Jonas Engelhardt, Nico Kirsch, Aileen Kerfin, Lars P. Lunding, Dominic Ferber, Hannes Buthmann, Ilka Schreier, Carlotta Bosio, Ann‐Kathrin Dobbelstein, Anna Klawonn, Rebecca C. Coll, Lena Bauernhofer, Sandro Keller, Matthias Geyer, Michael Wegmann, Andra B. Schromm, Günther Weindl   +16 more
wiley   +1 more source

Optimized model of microbial fuel cell using AI-driven walrus optimization algorithm. [PDF]

Sci Rep
Almousa MT, Louzazni M.
europepmc   +1 more source

Diastereomeric Monomers Enable Anion‐Exchange Membranes With Controlled Local Polymer Backbone Flexibility and High Conductivity

Advanced Science, EarlyView.
Stereochemistry enables control of ion‐exchange membrane properties via local backbone flexibility without altering the polymer composition. Syn‐enriched membranes show higher water uptake and improved water‐electrolysis performance, whereas anti‐enriched membranes exhibit higher hydration efficiency and improved mechanical properties.
Si Chen, Xuchen Lyu, Triet Nguyen Dai Luong, Patric Jannasch   +3 more
wiley   +1 more source

Cross-linked PVA/PSSA-CNTs based polyelectrolyte membranes with enhanced proton conductivity for fuel cell applications. [PDF]

Sci Rep
El-Desouky EA, Soliman EA, El-Bardan AA, Kassem AA, Elerian AF, Abu-Saied MA.   +5 more
europepmc   +1 more source

LRG1 Drives Pathological Angiogenesis by Disrupting Neutrophil Mitochondrial Homeostasis in Bladder Cancer

Advanced Science, EarlyView.
In bladder cancer, LRG1 binds to ANXA2 to trigger mitochondrial ROS‐dependent NETosis. This pathogenic cascade actively uncouples endothelial‐mural cell interactions, driving profound vascular destabilization. Consequently, targeting the LRG1‐ANXA2 axis attenuates the neutrophil burden and induces structural vascular normalization, offering a powerful ...
Dongshan Chen, Cong Zhang, Song Xue, Yuan Zeng, Haochen Cui, Chenfei Wang, Jiayi Feng, Lei Yan, Yuanwei Zang   +8 more
wiley   +1 more source

Solid oxide fuel cell simulation model tuning using operating conditions dependent optimization techniques. [PDF]

Sci Rep
Hesham H, Abdel Rahman M, Bassioni G, Swief RA, Ezzat M, Helmy S, Elbehairy NM.   +6 more
europepmc   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Performance Enhancement of Proton Exchange Membrane Fuel Cell Through Synergistic Design of Optimized Gas Diffusion Layer Porosity Distribution and Sinusoidal Flow Field. [PDF]

ACS Omega
Huang J, Tang Z, Yang K, Deng S, Jin Z, Xu B, Wang S, Wang D, Jiang R.   +8 more
europepmc   +1 more source

Machine Learning–Guided Surface Strain Engineering in Connected Platinum–Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance

Advanced Science, EarlyView.
Machine learning‐guided strain engineering enables highly active, durable, support‐free Pt–Ni nanonetwork catalysts for the oxygen reduction reaction. Analysis of a Pt‐based catalyst dataset identifies surface compressive strain as an effective descriptor associated with enhanced activity and provided practical design guidelines.
Aparna Chitra Sudheer, Gopinathan M. Anilkumar, Hidenori Kuroki, Yuuki Sugawara, Takeo Yamaguchi   +4 more
wiley   +1 more source