Results 121 to 130 of about 1,045,644 (311)
Finite Sample Breakdown Points of Projection Based Multivariate Location and Scatter Statistics [PDF]
, 1994 David E. Tyler
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Advanced Engineering Materials, EarlyView.Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler +4 more
wiley +1 more source
Generalizing univariate signed rank statistics for testing and estimating a multivariate location parameter [PDF]
, 1995 Ola Hössjer, Christophe Croux
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Selective Laser Sintering 3D Printing of Drug‐Loaded Intravitreal Implants
Advanced Functional Materials, EarlyView.Selective laser sintering enables the fabrication of biodegradable and biocompatible intravitreal implants with tunable microstructures for sustained drug delivery. By modulating laser scanning speed, the polymer matrix architecture is engineered to control the release kinetics of dexamethasone and riboflavin over several months. This approach offers a
Iria Seoane‐Viaño +5 more
wiley +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Nanoplasmonics Reveal Ionic‐Strength‐Driven Hydration of Nanoparticles
Advanced Functional Materials, EarlyView.Localized surface plasmon resonance (LSPR) of gold nanoparticles (AuNPs) is modulated by ionic‐strength‐dependent hydration shell compression. A predictive model connects shell thickness to non‐radiative damping and spectral shifts over seven orders of magnitude.
Yeeun Song +4 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Differential Phase Contrast Imaging to Predict MSC Immune Function
Advanced Healthcare Materials, EarlyView.This work employs quantitative differential phase contrast (qDPC) imaging technique to non‐invasively extract morphological features from live Mesenchymal Stromal Cells (MSCs) for single cell prediction on cell immunomodulatory capacity. This work establishes a foundation for scalable, non‐destructive monitoring of MSCs immunomodulatory capacity ...
Kejie Rui +5 more
wiley +1 more source
Multivariate statistics explaining groundwater chemistry, Asyut, Egypt. [PDF]
Environ Monit Assess, 2022 Said I +4 more
europepmc +1 more source
Seeing inside the Body Using Wearable Sensing and Imaging Technologies
Advanced Healthcare Materials, EarlyView.This review explores wearable technologies for noninvasive internal health monitoring. It categorizes approaches into indirect sensing (e.g., bioelectrical and biochemical signals) and direct imaging (e.g., wearable ultrasound and EIT), highlighting multimodal integration and system‐level innovation toward personalized, continuous healthcare.
Sumin Kim +3 more
wiley +1 more source