Results 81 to 90 of about 30,270 (285)

Real‐World Longitudinal Data on the Impact of Hydroxychloroquine Blood Level Monitoring on Lupus Outcomes: Results of a Prospective Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel, Fauzia Hollangel, Caroline Packee, Amita Kapoor, Brad Rovin, Nathalie Costedoat‐Chalumeau, Shivani Garg   +6 more
wiley   +1 more source

Svensk valundersökning 2022 - CSES versionen

The CSES edition of the Swedish National Election Study 2022 was conducted as a post election survey in connection with the Swedish parliamentary elections on September 11, 2022.
https://orcid.org/
core   +2 more sources

A global lithospheric magnetic field model between ± 65° latitude derived from CSES satellite scalar data

, 2023
The China Seismo-Electromagnetic Satellite (CSES) was launched successfully in February 2018. It is China's first satellite to measure geophysical fields with scientific goals in both space and solid earth physics.
Zhou, Bin, De Santis, Angelo, Wei Chu, Li, Zelin, Qiao Wang, Zhao, Shufan, Angelo De Santis, Feng Guo, Xuhui Shen, Shufan Zhao, Roland Lammegger, Magnes, Werner, Bin Zhou, Zelin Li, Shen, Xuhui, Zhima Zeren, Yuanman Zheng, Pollinger, Andreas, Jie Wang, Guo, Feng, Jianping Huang, Hengxin Lu, Yanyan Yang, Andreas Pollinger, Chu, Wei, Wang, Jie, Zhima, Zeren, Zheng, Yuanman, Yang, YanYan, Huang, Jianping, Wang, Qiao, Yao, Changli, Magnes Werner, Changli Yao, Lu, Hengxin, Lammegger, Roland   +35 more
core   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

CSES Module 6 First Advance Release

CSES Module 6 focuses on the theme ´Representative Democracy Under Pressure´ with questions tapping citizens´ views on the functioning of the democratic system and perceptions of system outputs, gender representation, preferences for government and the ...
Meneguello, Rachel, State University of Campinas (UNICAMP), Brazil, Jackman, Simon, Sydney University, Australia, Stubager, Rune, Aarhus University, Denmark, Sauger, Nicolas, Sciences Po, Paris, France, \uc7arko\u11flu, Ali, Koc University, Istanbul, T\ufcrkiye, Cameron, Sarah, Griffith University, Australia, Banducci, Susan, University of Exeter, United Kingdom, Hansen, Kasper M., University of Copenhagen, Denmark, Kalayc\u131o\u11flu, Ersin, Sabanci University, Istanbul, T\ufcrkiye, Mcallister, Ian, Australian National University, Australia, Komar, Olivera, De Facto Consultancy & University of Montenegro, Montenegro, Zivkovic, Slaven, De Facto Consultancy, Montenegro, Magalh\ue3es, Pedro, University of Lisbon, Portugal, Moral, Mert, Sabanci University, Istanbul, T\ufcrkiye, Batricevic, Nemanja, University of Montenegro, Montenegro, Costa Lobo, Marina, University of Lisbon, Portugal, Sheppard, Jill, Australian National University, Australia, Stankov, Nemanja, University of Montenegro, Montenegro, Ayta\ue7, Selim Erdem, Koc University, Istanbul, T\ufcrkiye   +18 more
core   +2 more sources

The electronics and trigger system of the High Energy Particle Detector (HEPD) onboard the China Electromagnetic Satellite (CSES)

, 2017
In this paper a description of the electronics and trigger system of the High Energy Particle Detector (HEPD) onboard the China Seismo Electromagnetic Satellite (CSES) and its main characteristics will be presented. CSES is a scientific mission dedicated
Limadou-CSES Collaboration, Osteria, G., Scotti, V.   +2 more
core  

Psychometric properties and correlates of the Polish version of the Contingent Self-Esteem Scale (CSES) [PDF]

, 2018
In general, it is ben eficial and adaptive to have high self-esteem; however, contingent self-esteem depending on approval is not so advantageous. This article presents research on a Polish version of the Contingent Self-Esteem Scale (CSES), which ...
Szpitalak, Malwina, Polczyk, Romuald, Dudek, Iwona   +2 more
core   +2 more sources

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source