Results 81 to 90 of about 9,867 (261)

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

Arthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada, Marcos Rafael N. Cavalcante, Itamar de Souza Santos, Márcio S. Bittencourt, Vandrize Meneghini, Paulo A. Lotufo, Alessandra C. Goulart, Isabela M. Bensenor   +7 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

Advanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo, Artur Ciesielski, Paolo Samorì   +2 more
wiley   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Residual‐Lithium‐to‐LiF Conversion Enables a LiF–Fluorinated Carbon Interphase for Reconstruction‐Resistant Ni‐Rich Cathodes

Advanced Functional Materials, EarlyView.
A fluorine‐rich acrylate monomer (PFHEA) was solvent‐free applied to NCM90 and thermally decomposed under Ar to convert residual lithium into LiF and form a pre‐built LiF/fluorinated amorphous carbon (LiF/FC) interphase. The LiF/FC layer suppresses NiO rock‐salt reconstruction and microcrack propagation, lowers interfacial resistance, and improves Li ...
Pangyu Kim, Juyeon Han, Junhyeok Kim, Younghoon Kim, Eunha Seo, Dain Kim, Jeeyoung Yoo   +6 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Intellectual property protection as a key element in the development of the knowledge economy

π-Economy
Relevance. Intellectual property is defined as one of the main elements and catalysts of scientific and technological development of the country. On the way to an innovative and sustainable future, the protection of intellectual property is a key element
Lozina Yuliya, Litvinenko Alexander
doaj   +1 more source

Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN

Advanced Functional Materials, EarlyView.
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk, Danis I. Badrtdinov, Kenji Watanabe, Takashi Taniguchi, Cyrus E. Dreyer, Malte Rösner, Maciej Koperski   +6 more
wiley   +1 more source

The Ni,Cd Heteroatoms‐Initiated Synergistic Tuning of Electron Configuration in Fe2VO4 Nanosheets Electrocatalysts to Profoundly Stabilize Alkaline Seawater Electrolysis

Advanced Functional Materials, EarlyView.
A Ni,Cd‐codoped Fe2VO4/NF bifunctional electrocatalyst is rationally designed for efficient seawater electrolysis. Synergistic effect modulates electron configuration, optimizes intermediates adsorption, stabilizes high‐valence Fe/V sites, and repels chloride ions to suppress corrosion and side reactions, thus contributing to performance improvement of
Weiguo Huang, Bin Fang, Tao Meng, Xiaodong Chen, Ya Chen, Xin Gao, Fei Liang, Hongchao Sun, Jiangmin Zou, Chao Yuan, Yuanyuan Shao, Peiyi Ji, Yangang Wang, Lifeng Cui, Guoxiu Wang, Duu‐Jong Lee   +15 more
wiley   +1 more source