Results 231 to 240 of about 1,631,669 (355)

Dogs were widely distributed across western Eurasia during the Palaeolithic. [PDF]

open access: yesNature
Marsh WA   +45 more
europepmc   +1 more source

Real‐world trends in prenatal antirheumatic drug utilization in Ontario, Canada: A cross‐sectional time‐series analysis

open access: yesArthritis Care &Research, Accepted Article.
Objectives This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah   +6 more
wiley   +1 more source

A new look at an old dog: Bonn-Oberkassel reconsidered

open access: yes, 2018
L. Janssens   +5 more
semanticscholar   +1 more source

Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling

open access: yesAdvanced Engineering Materials, EarlyView.
Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer   +3 more
wiley   +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

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

Pawsitive Impact: Measuring the Dog Mentor's Effect in Neurodivergent Students. [PDF]

open access: yesBehav Sci (Basel)
Dimolareva M   +5 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy