Results 61 to 70 of about 122,783,900 (271)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Hypothesis-testing in competing risks theory.

open access: yes, 1997
Hypothesis-testing in competing risks ...
Juhui. Jiao (7974824)
core   +4 more sources

DEVELOPING MULTIVARIATE CONFIRMATORY TECHNIQUE IN MEASURING STUDENTS SATISFACTION WITH EDUCATION PROCESS

open access: yesCroatian Operational Research Review, 2010
Mostly used multivariate procedure for testing both the construct validity and theoretical relationships among a set of multiple variables is structural equation modeling.
Josip Arnerić, Anita Talaja, Ante Prka
doaj  

Near‐Infrared Imaging of H2O2 in Plants With Nanosensors Under Environmentally Changing Conditions

open access: yesAdvanced Materials, EarlyView.
This paper reports a ratiometric nanosensor enabling robust, multivariate detection of stress signals (H2O2) in plants, with high resistance to light fluctuations and mechanical disturbances. Single‐walled carbon nanotubes serve as the sensor, Egyptian Blue nanosheets serve as a stable reference, and plant autofluorescence serves as a label‐free ...
Jiaqi Li   +8 more
wiley   +1 more source

Testing of a Structures Covariance Matrix for Three-Level Repeated Measures Data. [PDF]

open access: yes
This paper considers the problem of estimating, and testing for, a Kronecker product covariance structure of three-level (multiple time points (p), multiple sites (u), and multiple response variables (q)) multivariate data.
Ricardo Leiva, Anuradha Roy
core  

Microwall‐Integrated Terahertz Metasurfaces for Spatially Guided Label‐Free Sensing of Micrometer‐Scale Plastic Particles

open access: yesAdvanced Materials Technologies, EarlyView.
A THz metasurface device integrating a metal–dielectric–metal resonator with microwall‐defined recessed regions enables spatially guided, label‐free sensing of micrometer‐scale plastic particles. The as‐fabricated devices exhibit distinct THz reflection resonances for 3.1‐µm polystyrene particles and a concentration‐dependent resonance‐frequency‐shift ...
Naoki Inomata   +2 more
wiley   +1 more source

Recent evidence of the validity of the export-led growth hypothesis for Thailand [PDF]

open access: yes
Numerous empirical studies have devoted to analyze the role of exports in the growth process. This paper examines the relationship between real exports and real GDP in Thailand using quarterly data from 1993 to 2008.
Komain Jiranyakul
core  

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy