Results 131 to 140 of about 243,371 (302)

Associations of Sleep and Shift Work With Osteoarthritis Risk

Arthritis Care &Research, EarlyView.
Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships among circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000–person cohort, we evaluated associations among sleep duration, sleeplessness/insomnia, and shift
Elizabeth L. Yanik, Abigail Bridgeman, Erik D. Herzog, Vy Pham, Bradley A. Evanoff, Farshid Guilak   +5 more
wiley   +1 more source

Individual autonomy in work teams: The role of team autonomy, self-efficacy, and social support

, 2006
Contains fulltext : 45554.pdf (Publisher’s version ) (Open Access)Task autonomy is long recognized as a means to improve functioning of individuals and teams.
Vermunt, J.K., Doorewaard, J.A.C.M., Rutte, C.G., Kompier, M., Vermunt, JK, Kompier, MAJ, Kompier, M.A.J., van Mierlo, H., Mierlo, H. van, Mierlo, H Heleen van, Rutte, CG Christel, Mierlo, van, H., Doorewaard, JACM, Vermunt, J.K.; id_orcid   +13 more
core   +1 more source

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

LEARNING TO LEARN TO EXPAND FREEDOM IN CHOICES

Frontiers in Psychology, 2013
Carine eSignoret, Carine eSignoret
doaj   +1 more source

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

Arthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

Measuring Teacher Autonomy Support

Examining the Factor Structure of the Autonomy Support Subscale of the Teacher as a Social Context ...
Peter Mucheru Mwaura, Eric Kamau Wambui, Anthony Muriithi Ireri, James Ndege Oluoch   +3 more
core   +1 more source

Low‐Cost, Large‐Scale Nanoporous Metals by Mechanical Alloying, Oxide Reduction, and Dealloying of Powders

Advanced Engineering Materials, EarlyView.
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Who’s doing all the work? Using a technology-enhanced learning resource to develop student autonomy

, 2012
This paper explores the efficacy of a technology-enhanced learning resource designed by tutors to develop their students’ understanding about academic writing and their confidence in working independently.
Scott, C, Scott, C.
core  

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