Results 191 to 200 of about 336,417 (303)

Safety of Prescription Nonsteroidal Anti‐inflammatory Drugs in Adults with Inflammatory Bowel Disease: Data from a Large Administrative Claims Cohort

Arthritis Care &Research, Accepted Article.
Objectives The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in this population, but safety data are mixed. Methods This retrospective cohort study included patients with IBD ≥ 18 years of age from Optum's de‐identified ...
Adam S. Mayer, Rui Xiao, Meenakshi Bewtra, Michael D. George, Pamela F. Weiss   +4 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

Advanced 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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI). [PDF]

PLoS One
Bin Akter S, Sarkar Pias T, Rahman Deeba S, Hossain J, Abdur Rahman H.   +4 more
europepmc   +1 more source

Elinvar Materials: Recent Progress and Challenges

Advanced Engineering Materials, EarlyView.
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley   +1 more source

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

Advanced 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, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Influence of Sample Preparation and Processing Procedures on the Thermal Diffusivity of MgO‐C Refractories

Advanced Engineering Materials, EarlyView.
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan, Rhena Wulf, Till M. J. Stadtmüller, Christos G. Aneziris, Tobias M. Fieback   +4 more
wiley   +1 more source

Investigation of Laser Ablation and Brush Pre‐Treatments for AlCu Cold Roll Bonding in Oxygen‐Free Conditions

Advanced Engineering Materials, EarlyView.
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti, Finn‐Lennard Janthur, Selina Raumel, Sascha Jan Zimmermann, Sarah Seffer, René Gustus, Sebastian Herbst, Marc C. Wurz, Ludger Overmeyer, Wolfgang Maus‐Friedrichs, Hans Jürgen Maier, Florian Nürnberger   +11 more
wiley   +1 more source

Machine Learning Methods for Fault Classification

, 2014
This project, conducted at Ericsson AB, investigates the feasibility of implementing machine learning techniques in order to classify dump files for more effi cient trouble report routing. The project focuses on supervised machine learning methods and in particular Bayesian statistics. It shows that a program utilizing Bayesian methods can achieve well
openaire   +1 more source

Tribological Performance of 60NiTi Alloy Under Varying Contact Conditions and Elevated Temperatures in Linear Reciprocating Sliding

Advanced Engineering Materials, EarlyView.
This study investigates the tribological response of 60NiTi alloy under dry, water‐lubricated and high‐temperature conditions. The alloy exhibits decreasing wear volume and friction with increasing temperature due to the formation of protective oxide layers. The work clarifies dominant wear mechanisms and demonstrates the suitability of 60NiTi for high‐
Anthony Onyebuchi Okoani, Miguel Angel Selles, Maziar Ramezani   +2 more
wiley   +1 more source

Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma

Advanced Engineering Materials, EarlyView.
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie, David Kramer, Thomas Scheithauer, Hans Jürgen Maier, Thomas Hassel   +4 more
wiley   +1 more source