Results 91 to 100 of about 1,010,486 (283)
Financial Distress and its Determinants in Rheumatoid Arthritis
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent chronic use of expensive disease modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or non‐inflammatory musculoskeletal disease (NIMSKD) completing the Functional
Amber Brown Keebler +5 more
wiley +1 more source
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins +2 more
wiley +1 more source
On the order equivalence relation of binary association measures
Over a century of research has resulted in a set of more than a hundred binary association measures. Many of them share similar properties. An overview of binary association measures is presented, focused on their order equivalences. Association measures
Paradowski Mariusz
doaj +1 more source
Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams +7 more
wiley +1 more source
Decision Analysis via Granulation Based on General Binary Relation
Decision theory considers how best to make decisions in the light of uncertainty about data. There are several methodologies that may be used to determine the best decision.
M. M. E. Abd El-Monsef, N. M. Kilany
doaj +1 more source
The new RS CVn binary V1034 Her revisited and the orbital period — activity relation of short-period RS CVn binaries using photometric distortion amplitude [PDF]
Liyun Zhang
openalex +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
A possible relation between the period change and the mass ratio for W-type contact binaries [PDF]
Sheng‐Ping Qian
openalex +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Relation between the X-ray and optical luminosities in binary systems with accreting nonmagnetic white dwarfs [PDF]
M. Revnivtsev +2 more
openalex +1 more source

