Results 171 to 180 of about 229,729 (256)

Facial cosmetic therapy use amongst patients with systemic sclerosis: an Australian cohort study

Arthritis Care &Research, Accepted Article.
Objective Systemic sclerosis (SSc) is associated with numerous facial manifestations for which patients may engage in cosmetic therapies. It is unclear how patients with SSc use these therapies. This study sought to characterise patient engagement and experiences with cosmetic therapies for SSc‐related and non‐SSc‐related facial changes.
Zachary Warren, Diane Apostolopoulos, Gene‐Siew Ngian, Amanda M Saracino, Laura Ross, Nava Ferdowsi, Jennifer Walker, Cindy Hall, Kim Griggs, Susanna Proudman, Wendy Stevens, Joanne Sahhar   +11 more
wiley   +1 more source

Optimal dynamic pricing for public transportation considering consumer social learning. [PDF]

PLoS One
Zhang Y, Zhao Z.
europepmc   +1 more source

Clinical characteristics and concordance of anti‐MDA5 autoantibodies: A multicentre Australian study

Arthritis Care &Research, Accepted Article.
Objectives In Australia, anti‐MDA5 antibodies are exclusively tested by line immunoblot assay (LIA). The clinical concordance of a LIA‐positive anti‐MDA5 result is unclear. We aimed to describe the clinical features and determine the clinical concordance of patients with anti‐MDA5 antibodies.
Syed B Ali, Thomas Khoo, Keeran Shivakumar, Adam Caroll, Lauren Hender, Dimitra Beroukas, Kim Griggs, Celina Jin, Theo De Malmanche, Jessica Day, Gabor Major, Vidya Limaye   +11 more
wiley   +1 more source

Comparative analysis of decarbonization of local public transportation: A real case study. [PDF]

Heliyon
Miraftabzadeh SM, Saldarini A, Cattaneo L, El Ajami S, Longo M, Foiadelli F.   +5 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Effects of public transportation use on non-exercise activity thermogenesis and health promotion: a mini-review. [PDF]

Phys Act Nutr
Kim SW, Hwang D, Kyun S, Jang I, Kim T, Kim J, Shin I, Lim K.   +7 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

One-year trial evaluating the durability and antimicrobial efficacy of copper in public transportation systems. [PDF]

Sci Rep
Williams TC, Asselin E, Mazzulli T, Woznow T, Hamzeh H, Nahkaie D, Waisman D, Stojkova B, Dixon R, Bryce E, Charles M.   +10 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source