AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
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Three-year outcomes after cyanoacrylate closure of superficial truncal veins: A single-center practice cohort study. [PDF]
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Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
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Acute Effect of Transcutaneous Auricular Vagus Nerve Stimulation in Two Different Locations on Blood Pressure and Cardiac Autonomic Modulation in Healthy and Hypertensive Individuals: Pilot Study of a Randomized Crossover Clinical Trial. [PDF]
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Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
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Adequacy of pain management and its predictors following cesarean section: a longitudinal data analysis using a generalized estimating equation model. [PDF]
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Arterial stenosis and electrophysiological nerve dysfunction in type 2 diabetes: clinical evidence from GEE models and transcriptomic pathway analysis. [PDF]
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Akaike's Information Criterion in Generalized Estimating Equations
Biometrics, 2001Summary. Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model‐selection criteria available in GEE. The well‐known Akaike Information Criterion (AIC)
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