Results 211 to 220 of about 7,241,935 (286)

Engineering Na‐Rich P2‐Type Layered Oxides Through Li/Ti Dual Doping for Oxygen Redox Activation and Superior Structural Stability

Advanced Energy Materials, EarlyView.
P2‐type sodium layered oxides have potential for high‐voltage operation but suffer from structural instability and capacity fading. This work demonstrates that synergistic Li and Ti co‐doping enhances sodium inventory, suppresses detrimental phase transitions, and activates reversible lattice oxygen redox.
Rishika Jakhar, Shrestha Ghosh, Adesh Rohan Mishra, Shristi Pradhan, Debalina Sarkar, Yuanlong Bill Zheng, Zengqing Zhuo, Tianyi Li, Lu Ma, Minghao Zhang, Shyue Ping Ong, Matthew Li, Leeann Sun, Prabhat Thapliyal, Jing Wang, Abhik Banerjee, Ying Shirley Meng   +16 more
wiley   +1 more source

Cardiac Arrest as the First Manifestation of Single Coronary Artery-Potential Role of FFR_CT for Detecting Critical Flow Reduction. A Case Report. [PDF]

Clin Case Rep
Nehaj F, Hatala R, Kocan D, Collet C, Hlivak P, Svetlosak M, Ali U, Connolly DL.   +7 more
europepmc   +1 more source

Covalently Locked Donor–Acceptor Block Copolymer Nanoparticles Enable Efficient, Stable and Reproducible Photocatalytic Hydrogen Evolution

Advanced Energy Materials, EarlyView.
To overcome the efficiency–stability trade‐off of traditional donor:acceptor blends, covalently locked all‐conjugated block copolymer nanoparticles are developed for solar hydrogen production. This strategy achieves an outstanding HER rate exceeding 120 mmol cm−2 g−1 h−1, alongside exceptional operational stability (95% retention after 96 h) and high ...
Alexandre Holmes, Qiaonan Chen, Rafael Bicudo Ribeiro, Leandro R. Franco, Soumi Roy, Linnea Lind, Xiaoman Bi, Mateus Bergami, Mathis Mortensen Brette, Lunjie Zeng, Eva Olsson, Bo Albinsson, Márcio T. do N. Varella, C. Moyses Araujo, Ergang Wang   +14 more
wiley   +1 more source

Portal vein embolization for arterio-portal shunt closure in hepatocellular carcinoma to facilitate selective internal radiation therapy. [PDF]

World J Radiol
Liu X, Zhao JY, Xu ZY, Shen SQ, Xu ZJ, Yang YF, Ge NJ, Wang XD.   +7 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Relative Brain Perfusion Differences in a Patient With Persistent Neurocognitive and Vestibular Symptoms Associated With Post-COVID-19 Condition: A Case Report. [PDF]

Cureus
Pham B, Stoychev G.
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Non-Invasive Assessment of Coronary Microvascular Dysfunction: From Flow Quantification to Clinical Decision Making. [PDF]

Medicina (Kaunas)
Theofilis P, Sakalidis A, Dimitriadis K, Karakasis P, Papanikolaou A, Iliakis P, Vordoni A, Vlachakis PK, Tsioufis P, Adamopoulou E, Panoulas V, Aznaouridis K, Tsioufis K, Tousoulis D.   +13 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source