Results 221 to 230 of about 649,705 (315)
Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imaging. [PDF]
Eberle JV +10 more
europepmc +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Assessment of the impact of outcome definitions on power in multiple sclerosis clinical trials. [PDF]
Li CX, Glanz BI, Baharnoori M, Healy BC.
europepmc +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
The Association of Vertically Integrated Delivery Networks on Lapses in Diabetic Retinopathy Care and Presenting Diabetic Retinopathy Severity. [PDF]
Yu SE, Tran D, Han D, Cai CX.
europepmc +1 more source
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression. [PDF]
Qin C +6 more
europepmc +1 more source
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source
Proactive Control of Emotional Information in Adult ADHD. [PDF]
Längle A, Ettinger U, Duschek S.
europepmc +1 more source

