Results 111 to 120 of about 2,766,525 (342)

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

Research on the Evolutionary Response of Dynamic Penetration Behavior Exhibited by Jets

open access: yesShock and Vibration
This study explores the evolutionary dynamics of shaped charge jet penetration power into targets with varying motion states, employing the penetration depth as the critical inspection index.
Yizhen Wang   +3 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Estimating Standing Bamboo Culm Density in Three Genera Using the Pilodyn® Wood Tester

open access: yesForest Science and Technology
Accurately estimating culm density in standing bamboo is essential for assessing its mechanical performance, especially for grading materials in structural applications.
Lina Karlinasari   +3 more
doaj   +1 more source

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

open access: yesAdvanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi   +3 more
wiley   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Modelling the Depth of Jet Penetration in Abrasive Waterjet Contouring of Alumina Ceramics

open access: yes, 2004
Predictive mathematical models for the depth of jet penetration are presented for both straight-slit cutting and contouring by an abrasive waterjet (AWJ).
Liu, Hua   +4 more
core  

Research on the Ink Penetration Depth into Offset Paper

open access: yes, 2011
In order to predict and control the ink penetration depth, The base properties of 5 offset paper were firstly measured, namely, tightness、smoothness and K&N ink absorbency, etc.
Yong Gang Yang, Qiao Zhuo Gao
core   +1 more source

A simple approach for the estimation of CO2 penetration depth into a caprock layer

open access: yes, 2016
Caprock is a water-saturated formation with a sufficient entry capillary pressure to prevent the upward migration of a buoyant fluid. When the entry capillary pressure of caprock is smaller than the pressure exerted by the buoyant CO2 plume, CO2 ...
Jianguo Wang, Y. Ju, F. Gao, J. Liu
semanticscholar   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

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